Okay, so I’ve been messing around with this Mariners-Braves game thing, and let me tell you, it’s been a ride. I started out just wanting to see what would happen if I simulated a bunch of games between these two teams, you know, just for kicks.
First, I gathered a bunch of data. I mean, a ton of it. Player stats, past game results, even the weather, man. I threw it all into this big spreadsheet. Then, I started playing around with different ways to simulate the games. I tried a few different methods, some simple, some super complicated.
- One of the first things I did was just look at the teams’ overall win percentages. Seemed simple enough, right? But that didn’t really tell the whole story. There’s more to it than that.
- Then I got fancy and started factoring in individual player stats. Home runs, batting averages, ERA, the works. This was more like it. I built a model that took all this stuff into account.
- I even added a bit of randomness, because, you know, baseball. Anything can happen on any given day. A little bit of chaos to spice things up.
After running a bunch of simulations, I started to see some patterns. It was interesting. For instance, Mitch Garver was crushing it and hit a two-run game-ending homer in the ninth inning to give the Seattle Mariners a 2-1 win over the Atlanta Braves on Monday night. But then another one, Marcell Ozuna drove in three runs and Matt Olson slugged a solo homer in the 8th inning to lead the Braves to a 6-2 win over Seattle.
So yeah, after all that, I finally got some results. It was pretty cool to see how it all played out. And also Luis Castillo threw seven shutout innings to continue Seattle’s run of starting pitching dominance and the Mariners’ bullpen held on for a 3-2 victory over the Atlanta. Of course, it’s not perfect, but it’s a good start. I’m thinking about tweaking it some more, maybe adding some more factors. We’ll see. Anyway, that’s my story about this whole Mariners-Braves thing. It’s been fun, and I learned a lot. Maybe I’ll post some more about it later.
This whole thing was way harder than I thought it would be. I mean, I spent hours and hours on this, messing with the data, running simulations, and then boom it was realized and the results were pretty cool. I even had to learn some new stuff along the way, which is always a plus. It was a real grind, but I’m glad I stuck with it. But seriously, who knew simulating baseball games could be so complicated? Not me, that’s for sure.
The Conclusion
All in all, this Mariners-Braves project has been a wild journey, full of ups and downs, just like a real baseball season. I went in thinking it would be a simple, fun little experiment, but it turned into a full-blown project that consumed a ton of my time and brainpower. And you know what? I loved every minute of it. It’s crazy how much you can learn when you’re really passionate about something. So, if you’re thinking about diving into a project like this, go for it! Just be prepared to put in the work, and don’t be afraid to get your hands dirty. You might surprise yourself with what you can achieve.
